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<a href="memory__sm75_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2019, NVIDIA CORPORATION.  All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * Redistribution and use in source and binary forms, with or without modification, are permitted</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> *     * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> *       conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> *     * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> *       conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> *       provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> *     * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *       to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> *       permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS &quot;AS IS&quot; AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="array_8h.html">cutlass/array.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="layout_2matrix_8h.html">cutlass/layout/matrix.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="keyword">namespace </span>arch {</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;  <span class="keyword">typename</span> Layout,</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;  <span class="keywordtype">int</span> MatrixCount</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;&gt;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="keyword">inline</span> __device__ <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1arch.html#a4f66a9687ae7524d528d8ddd2bcb4006">ldsm</a>(Array&lt;unsigned, MatrixCount&gt; &amp; D, <span class="keywordtype">void</span> <span class="keyword">const</span>* ptr);</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;<span class="comment">// Specializations</span></div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="preprocessor">#if (__CUDACC_VER_MAJOR__ == 10) &amp;&amp; (__CUDACC_VER_MINOR__ == 2)</span></div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="preprocessor">  #define CUDA_NVVM_GET_SHARED_POINTER_SUPPORTED 1</span></div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="preprocessor">#else</span></div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="memory__sm75_8h.html#a46f2866d35a895ba34326282b8acfaa6">   56</a></span>&#160;<span class="preprocessor">  #define CUDA_NVVM_GET_SHARED_POINTER_SUPPORTED 0</span></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="preprocessor">#if ! defined(CUDA_NVVM_GET_SHARED_POINTER_ENABLED)</span></div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="memory__sm75_8h.html#a4eee9c4995d720384992aabe5c6d6bc7">   60</a></span>&#160;<span class="preprocessor">  #define CUDA_NVVM_GET_SHARED_POINTER_ENABLED (CUDA_NVVM_GET_SHARED_POINTER_SUPPORTED)</span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="preprocessor">#if ! defined(CUDA_LDMATRIX_SUPPORTED)</span></div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="memory__sm75_8h.html#abac6d4ac2f9ce3fff90851a5156836ce">   64</a></span>&#160;<span class="preprocessor">  #define CUDA_LDMATRIX_SUPPORTED ((__CUDACC_VER_MAJOR__ == 10) &amp;&amp; (__CUDACC_VER_MINOR__ &gt;= 2))</span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;<span class="preprocessor">#if ! defined(CUDA_LDMATRIX_ENABLED)</span></div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="memory__sm75_8h.html#a95ee2a0203757d1d2fb1ea2d2bb05292">   68</a></span>&#160;<span class="preprocessor">  #define CUDA_LDMATRIX_ENABLED (CUDA_LDMATRIX_SUPPORTED)</span></div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;<span class="preprocessor">#if (CUDA_LDMATRIX_ENABLED &amp;&amp; defined(__CUDA_ARCH__) &amp;&amp; (__CUDA_ARCH__ &gt;= 750))</span></div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;<span class="preprocessor">  #define CUDA_LDMATRIX_ACTIVATED 1</span></div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="preprocessor">#else</span></div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="memory__sm75_8h.html#a29d596a2e497f5f641e9fbacb3965a7a">   74</a></span>&#160;<span class="preprocessor">  #define CUDA_LDMATRIX_ACTIVATED 0</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="preprocessor">#if defined(CUTLASS_GET_SMEM_POINTER)</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;  <span class="comment">// Use the existing implementation</span></div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;<span class="preprocessor">#elif CUDA_NVVM_GET_SHARED_POINTER_ENABLED</span></div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="preprocessor">  #if ! defined(NVVM_GET_SMEM_POINTER)</span></div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="preprocessor">    #define NVVM_GET_SMEM_POINTER</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;  <span class="keyword">extern</span> <span class="stringliteral">&quot;C&quot;</span> {</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <span class="comment">//</span></div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <span class="comment">// This NVVM intrinsic is subject to change in future versions of CUDA.</span></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="comment">// Clients should not call it directly. Rather, they should use the </span></div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <span class="comment">// cutlass::arch::ldsm&lt;&gt;() template.</span></div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <span class="comment">//</span></div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    __device__ uint32_t __nvvm_get_smem_pointer(<span class="keywordtype">void</span>*);</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;  }</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;<span class="preprocessor">  #endif</span></div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;<span class="preprocessor">  #define CUTLASS_GET_SMEM_POINTER(ptr) __nvvm_get_smem_pointer((void*)ptr)</span></div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1arch.html#a06106d8c334c1a3d86b9fee0bc476c28">   97</a></span>&#160;<span class="keyword">inline</span> __device__ <span class="keywordtype">void</span> ldsm&lt;layout::RowMajor, 1&gt;(</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    Array&lt;unsigned, 1&gt; &amp; D,</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <span class="keywordtype">void</span> <span class="keyword">const</span>* ptr) {</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;<span class="preprocessor">  #if CUDA_LDMATRIX_ACTIVATED</span></div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    <span class="keywordtype">unsigned</span> addr = CUTLASS_GET_SMEM_POINTER(ptr);</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    <span class="keywordtype">int</span> x;</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    <span class="keyword">asm</span> <span class="keyword">volatile</span> (<span class="stringliteral">&quot;ldmatrix.sync.aligned.x1.m8n8.shared.b16 {%0}, [%1];&quot;</span> : <span class="stringliteral">&quot;=r&quot;</span>(x) : <span class="stringliteral">&quot;r&quot;</span>(addr));</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    <span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">int</span> &amp;<span class="keyword">&gt;</span>(D) = x;</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;<span class="preprocessor">  #else</span></div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    assert(0);</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;<span class="preprocessor">  #endif</span></div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;}</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1arch.html#a174e6a1036c1c18d15e3e0caaef636e3">  119</a></span>&#160;<span class="keyword">inline</span> __device__ <span class="keywordtype">void</span> ldsm&lt;layout::RowMajor, 2&gt;(</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    Array&lt;unsigned, 2&gt; &amp; D,</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    <span class="keywordtype">void</span> <span class="keyword">const</span>* ptr) {</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;<span class="preprocessor">  #if CUDA_LDMATRIX_ACTIVATED</span></div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    <span class="keywordtype">unsigned</span> addr = CUTLASS_GET_SMEM_POINTER(ptr);</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    <span class="keywordtype">int</span> x, y;</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    <span class="keyword">asm</span> <span class="keyword">volatile</span> (<span class="stringliteral">&quot;ldmatrix.sync.aligned.x2.m8n8.shared.b16 {%0, %1}, [%2];&quot;</span> : <span class="stringliteral">&quot;=r&quot;</span>(x), <span class="stringliteral">&quot;=r&quot;</span>(y) : <span class="stringliteral">&quot;r&quot;</span>(addr));</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    <span class="keyword">reinterpret_cast&lt;</span>int2 &amp;<span class="keyword">&gt;</span>(D) = make_int2(x, y);</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;<span class="preprocessor">  #else</span></div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    assert(0);</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;<span class="preprocessor">  #endif</span></div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;}</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1arch.html#aca558d9696d1ef714ed3eb622c4a0d19">  141</a></span>&#160;<span class="keyword">inline</span> __device__ <span class="keywordtype">void</span> ldsm&lt;layout::RowMajor, 4&gt;(</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    Array&lt;unsigned, 4&gt; &amp; D,</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    <span class="keywordtype">void</span> <span class="keyword">const</span>* ptr) {</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;<span class="preprocessor">  #if CUDA_LDMATRIX_ACTIVATED</span></div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    <span class="keywordtype">unsigned</span> addr = CUTLASS_GET_SMEM_POINTER(ptr);</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    <span class="keywordtype">int</span> x, y, z, w;</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    <span class="keyword">asm</span> <span class="keyword">volatile</span> (<span class="stringliteral">&quot;ldmatrix.sync.aligned.x4.m8n8.shared.b16 {%0, %1, %2, %3}, [%4];&quot;</span> : <span class="stringliteral">&quot;=r&quot;</span>(x), <span class="stringliteral">&quot;=r&quot;</span>(y), <span class="stringliteral">&quot;=r&quot;</span>(z), <span class="stringliteral">&quot;=r&quot;</span>(w) : <span class="stringliteral">&quot;r&quot;</span>(addr));</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    <span class="keyword">reinterpret_cast&lt;</span>int4 &amp;<span class="keyword">&gt;</span>(D) = make_int4(x, y, z, w);</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;<span class="preprocessor">  #else</span></div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    assert(0);</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;<span class="preprocessor">  #endif</span></div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;}</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;<span class="comment">// Transpose on 16b granularity</span></div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00167"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1arch.html#a72c88d957beeb19a02678ae5e7a1fe93">  167</a></span>&#160;<span class="keyword">inline</span> __device__ <span class="keywordtype">void</span> ldsm&lt;layout::ColumnMajor, 1&gt;(</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    Array&lt;unsigned, 1&gt; &amp; D,</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    <span class="keywordtype">void</span> <span class="keyword">const</span>* ptr) {</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;<span class="preprocessor">  #if CUDA_LDMATRIX_ACTIVATED</span></div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    <span class="keywordtype">unsigned</span> addr = CUTLASS_GET_SMEM_POINTER(ptr);</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;    <span class="keywordtype">int</span> x;</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    <span class="keyword">asm</span> <span class="keyword">volatile</span> (<span class="stringliteral">&quot;ldmatrix.sync.aligned.x1.trans.m8n8.shared.b16 {%0}, [%1];&quot;</span> : <span class="stringliteral">&quot;=r&quot;</span>(x) : <span class="stringliteral">&quot;r&quot;</span>(addr));</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    <span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">int</span> &amp;<span class="keyword">&gt;</span>(D) = x;</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;<span class="preprocessor">  #else</span></div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    assert(0);</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;<span class="preprocessor">  #endif</span></div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;}</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1arch.html#af47a6dd028305b7237745e75ea297c97">  188</a></span>&#160;<span class="keyword">inline</span> __device__ <span class="keywordtype">void</span> ldsm&lt;layout::ColumnMajor, 2&gt;(</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    Array&lt;unsigned, 2&gt; &amp; D,</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;    <span class="keywordtype">void</span> <span class="keyword">const</span>* ptr) {</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;<span class="preprocessor">  #if CUDA_LDMATRIX_ACTIVATED</span></div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    <span class="keywordtype">unsigned</span> addr = CUTLASS_GET_SMEM_POINTER(ptr);</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    <span class="keywordtype">int</span> x, y;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    <span class="keyword">asm</span> <span class="keyword">volatile</span> (<span class="stringliteral">&quot;ldmatrix.sync.aligned.x2.trans.m8n8.shared.b16 {%0, %1}, [%2];&quot;</span> : <span class="stringliteral">&quot;=r&quot;</span>(x), <span class="stringliteral">&quot;=r&quot;</span>(y) : <span class="stringliteral">&quot;r&quot;</span>(addr));</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    <span class="keyword">reinterpret_cast&lt;</span>int2 &amp;<span class="keyword">&gt;</span>(D) = make_int2(x, y);</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;<span class="preprocessor">  #else</span></div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;    assert(0);</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;<span class="preprocessor">  #endif</span></div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;}</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00210"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1arch.html#a5fea35ca546de780f4b678839d0a3743">  210</a></span>&#160;<span class="keyword">inline</span> __device__ <span class="keywordtype">void</span> ldsm&lt;layout::ColumnMajor, 4&gt;(</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;    Array&lt;unsigned, 4&gt; &amp; D,</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    <span class="keywordtype">void</span> <span class="keyword">const</span>* ptr) {</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;<span class="preprocessor">  #if CUDA_LDMATRIX_ACTIVATED</span></div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;    <span class="keywordtype">unsigned</span> addr = CUTLASS_GET_SMEM_POINTER(ptr);</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    <span class="keywordtype">int</span> x, y, z, w;</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;    <span class="keyword">asm</span> <span class="keyword">volatile</span> (<span class="stringliteral">&quot;ldmatrix.sync.aligned.x4.trans.m8n8.shared.b16 {%0, %1, %2, %3}, [%4];&quot;</span> : <span class="stringliteral">&quot;=r&quot;</span>(x), <span class="stringliteral">&quot;=r&quot;</span>(y), <span class="stringliteral">&quot;=r&quot;</span>(z), <span class="stringliteral">&quot;=r&quot;</span>(w) : <span class="stringliteral">&quot;r&quot;</span>(addr));</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    <span class="keyword">reinterpret_cast&lt;</span>int4 &amp;<span class="keyword">&gt;</span>(D) = make_int4(x, y, z, w);</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;<span class="preprocessor">  #else</span></div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    assert(0);</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;<span class="preprocessor">  #endif</span></div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;}</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;} <span class="comment">// namespace arch</span></div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;} <span class="comment">// namespace cutlass</span></div><div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> aligned_buffer.h:35</div></div>
<div class="ttc" id="array_8h_html"><div class="ttname"><a href="array_8h.html">array.h</a></div><div class="ttdoc">Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...</div></div>
<div class="ttc" id="namespacecutlass_1_1arch_html_a4f66a9687ae7524d528d8ddd2bcb4006"><div class="ttname"><a href="namespacecutlass_1_1arch.html#a4f66a9687ae7524d528d8ddd2bcb4006">cutlass::arch::ldsm</a></div><div class="ttdeci">__device__ void ldsm(Array&lt; unsigned, MatrixCount &gt; &amp;D, void const *ptr)</div></div>
<div class="ttc" id="layout_2matrix_8h_html"><div class="ttname"><a href="layout_2matrix_8h.html">matrix.h</a></div><div class="ttdoc">Defines layout functions used by TensorRef and derived classes. </div></div>
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